5 results for “1M context”
Tencent open-sourced Hy4 preview, a 770B-parameter MoE model with 49B activated weights and a 1M-token context window. The Apache 2.0 release puts a frontier-class model within reach of self-hosted inference stacks.
Z.ai released GLM-5.3-Flash, a 320B-parameter multimodal model with only 18B active parameters using hybrid sparse-linear attention. The MIT-licensed model approaches Claude Opus 4.8 on coding benchmarks at one-tenth the inference cost of its predecessor.
Anonymous model Ox Alpha launched on OpenRouter August 20 with a 1M-token context window and free preview access. Independent testing on a 10-task DeepSWE subset showed an 80% pass rate, beating Claude Fable 5, GLM-5.3, GPT-5.6 Sol, and Grok 4.6 on the same tasks.
Z.ai released GLM-5.2 on June 13 with 1M context, MIT weights, and Coding Plan access before benchmarks. Developers can evaluate it in agents today while GLM-5.5 remains entirely unconfirmed.
Z.ai released GLM-5.2, a 753B open-weight model with MIT licensing that matches Anthropic's Opus 4.8 on agentic benchmarks at roughly one-fifth the token cost. The 1M-context model is already running in Cursor and Claude Code, shifting enterprise leverage toward self-hosted inference.